Artificial Neural Networks for the Study of Cosmic Rays-Reference-Cited by-同舟云学术

Artificial Neural Networks for the Study of Cosmic Rays

Published:2019 Issue: Volume: Page:113-123
ISSN:1865-0929
Container-title:Communications in Computer and Information Science
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Author:

Varela Enrique^ORCID,Gabriel Irving^ORCID,Quiroz Alejandro^ORCID,Báez Luis Angel^ORCID,Salazar Humberto^ORCID,Villaseñor Luis^ORCID

Publisher

Springer International Publishing

Link

http://link.springer.com/content/pdf/10.1007/978-3-030-37386-3_9

Reference15 articles.

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2. Abu-Zayyad, T., et al.: The cosmic-ray energy spectrum observed with the surface detector of the telescope array experiment. Astrophys. J. Lett. 768(1), L1 (2013). https://doi.org/10.1088/2041-8205/768/1/l1

3. Carvalho Jr., W.R., Alvarez-Muñiz, J.: Determination of cosmic-ray primary mass on an event-by-event basis using radio detection. Astropart. Phys. 109, 41–49 (2019). https://doi.org/10.1016/j.astropartphys.2019.02.005

4. Gaisser, T.K., Hillas, A.M.: Reliability of the method of constant intensity cuts for reconstructing the average development of vertical showers. In: Proceedings 15th International Cosmic Ray Conference, vol. 8, pp. 353–357 (1977)

5. Erdmann, M., Glombitza, J., Walz, D.: A deep learning-based reconstruction of cosmic ray-induced air showers. Astropart. Phys. 97, 46–53 (2018). https://doi.org/10.1016/j.astropartphys.2017.10.006

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